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DIA-Based Phosphoproteomics Identifies Early Phosphorylation Events in Response to EGTA and Mannitol in Arabidopsis.

Tian SangChin-Wen ChenZhen LinYu MaYanyan DuPei-Yi LinMarco HadisuryaJian-Kang ZhuZhaobo LangW Andy TaoChuan-Chih HsuPengcheng Wang
Published in: Molecular & cellular proteomics : MCP (2024)
Osmotic stress significantly hampers plant growth and crop yields, emphasizing the need for a thorough comprehension of the underlying molecular responses. Previous research has demonstrated that osmotic stress rapidly induces calcium influx and signaling, along with the activation of a specific subset of protein kinases, notably the Raf-like protein (RAF)-sucrose nonfermenting-1-related protein kinase 2 (SnRK2) kinase cascades within minutes. However, the intricate interplay between calcium signaling and the activation of RAF-SnRK2 kinase cascades remains elusive. Here, in this study, we discovered that Raf-like protein (RAF) kinases undergo hyperphosphorylation in response to osmotic shocks. Intriguingly, treatment with the calcium chelator EGTA robustly activates RAF-SnRK2 cascades, mirroring the effects of osmotic treatment. Utilizing high-throughput data-independent acquisition-based phosphoproteomics, we unveiled the global impact of EGTA on protein phosphorylation. Beyond the activation of RAFs and SnRK2s, EGTA treatment also activates mitogen-activated protein kinase cascades, Calcium-dependent protein kinases, and receptor-like protein kinases, etc. Through overlapping assays, we identified potential roles of mitogen-activated protein kinase kinase kinase kinases and receptor-like protein kinases in the osmotic stress-induced activation of RAF-SnRK2 cascades. Our findings illuminate the regulation of phosphorylation and cellular events by Ca 2+ signaling, offering insights into the (exocellular) Ca 2+ deprivation during early hyperosmolality sensing and signaling.
Keyphrases
  • protein kinase
  • stress induced
  • high throughput
  • tyrosine kinase
  • binding protein
  • gene expression
  • dna methylation
  • machine learning
  • genome wide
  • electronic health record
  • small molecule
  • heat stress
  • combination therapy